Mapping relationships using electronic communications data

• US 10,282,460 B2
• Filed: 06/10/2016
• Issued: 05/07/2019
• Est. Priority Date: 12/23/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Smith, Barton A., Wang, Fei, Zhang, Wei, Zhou, Michelle X.
• Primary Examiner(s): Coby, Frantz
• Application Number:
  US15/179,228
• Publication Number:
  US 20160283577A1
• Time in Patent Office: 1,061 Days
• Field of Search: 707719, 707722, 707732-734, 707736, 707811, 707809, 709204, 709206, 709224, 709207
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/84 Mapping; Conversion
• CPC Class Codes: G06F 16/86 Mapping to a database
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/046 Interoperability with other network applications or services
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 65/1069 Session establishment or de-establishment

Abstract

A pairwise relationship data set with multiple attributes (such as, who, what, when, where, how) and with the what attribute (also called the topic attribute) having a word dimension and a people dimension. The data in the topic dimension of the what attribute relates to topics (including other people) relating to the specific, human, personal relationship between the first person and the second person of the pairwise pair. The what attribute data is derived by processing basis data, which includes correspondence data (that is, the substance of correspondence that the first and second persons participate in, including instant messaging and e-mail exchanges. Pairwise relationship data is displayed to a user in real time during a chat session.

Claims

1. A method comprising:

creating a pairwise relationship data set corresponding to a pairwise entity including only a pair of people, the pairwise relationship data set being based on basis data related to the pair of people and including a who attribute portion and a what attribute portion, the pair of people being a first person and a second person;

defining the who attribute portion of the pairwise relationship data set by storing;

(i) first person data related to an identity of the first person, and (ii) second person data related to an identity of the second person;

defining the what attribute portion of the pairwise relationship data set by storing topic data, with the topic data being;

(i) based on the basis data, and (ii) pre-determined topics of mutual interest to the pairwise entity;

monitoring an online chat session between the pair of people; and

sending, to the first person, an electronic message including a portion of the topic data;

wherein;

the basis data includes the first person data, the second person data, and the topic data.

2. The method of claim 1 wherein:

the what attribute portion includes a word dimension with words, other than proper names, of common use between the pair of people; and

the what attribute portion is further defined by storing, for the pairwise entity, identities of people of mutual interest to the pair of people.

3. The method of claim 1 wherein the topic data is based on the basis data by performing text analytics on at least a portion of the basis data in order to determine the topic data.

4. The method of claim 1 wherein the topic data is based on the basis data by performing inverse frequency processing on at least a portion of the basis data in order to determine the topic data.

5. The method of claim 1 wherein the basis data includes correspondence data of the pair of people.

6. The method of claim 5 wherein:

the correspondence data includes communications between the first person and the second person during the online chat session, the communications being weighted according to relevance; and

an exclusive communication is weighted more than non-exclusive communication.

7. The method of claim 1 further comprising:

collecting additional basis data during a chat session between the first person and the second person; and

updating the pairwise relationship data set in real time based at least in part on the additional basis data.

8. The method of claim 1 wherein the basis data is derived from published communications data associated with the first person and the second person.

9. A computer system comprising:

a memory having computer readable computer instructions; and

a processor for executing the computer readable instructions, the instructions which, when executed by the processor set, cause the processor set to send topic data to a participant during an online chat session by;

creating a pairwise relationship data set including a who attribute portion and a what attribute portion, the pairwise relationship data set corresponding to a pairwise entity including only the pair of people consisting only of a first person and a second person;

generating first person data including first identity data related to an identity of the first person and first interest data related to topics of interest of the first person;

generating second person data including second identity data related to an identity of the second person and second interest data related to topics of interest of the second person;

defining the who attribute portion of the pairwise relationship data set by storing;

(i) first identity data, and (ii) second identity data;

defining the what attribute portion of the pairwise relationship data set by storing, for the pairwise entity, topic data, with the topic data being;

(i) based on basis data including first interest data and second interest data, and (ii) pre-determined topics of interest to the pairwise entity;

monitoring an online chat session between the pair of people; and

sending, to the first person, an electronic message including a portion of the topic data.

10. The computer system of claim 9, wherein:

the monitoring includes capturing correspondence data from a communication between the first person and the second person; and

further comprising;

identifying relevant words in the correspondence data;

amending the basis data to include the relevant words; and

updating the what attribute portion with the amended basis data.

11. The computer system of claim 9, wherein the topic data is based on the basis data by performing text analytics on at least a portion of the basis data in order to determine the topic data.

12. The computer system of claim 9, wherein the topic data is based on the basis data by performing inverse frequency processing on at least a portion of the basis data in order to determine the topic data.

13. The computer system of claim 9, further causing the processor set to send topic data to a participant during an online chat session by:

collecting additional basis data during a chat session between the first person and the second person; and

updating the pairwise relationship data set in real time based at least in part on the additional basis data.

14. The computer system of claim 9, wherein the basis data is derived from published communications data associated with the first person and the second person.

15. A computer program product comprising a computer readable storage medium having program code embodied therewith, the program code is executable by a processor to:

create a pairwise relationship data set including a who attribute portion and a what attribute portion, the pairwise relationship data set corresponding to a pairwise entity including only the pair of people consisting only of a first person and a second person;

generate first person data including first identity data related to an identity of the first person and first interest data related to topics of interest of the first person;

generate second person data including second identity data related to an identity of the second person and second interest data related to topics of interest of the second person;

define the who attribute portion of the pairwise relationship data set by storing;

(i) first identity data, and (ii) second identity data;

define the what attribute portion of the pairwise relationship data set by storing, for the pairwise entity, topic data, with the topic data being;

(i) based on basis data including first interest data and second interest data, and (ii) pre-determined topics of interest to the pairwise entity;

monitor an online chat session between the pair of people; and

send, to the first person, an electronic message including a portion of the topic data.

16. The computer program product of claim 15, wherein:

monitoring the online chat session includes capturing correspondence data from a communication between the first person and the second person; and

further comprising program code executable by a processor to;

identify relevant words in the correspondence data;

amend the basis data to include the relevant words; and

update the what attribute portion with the amended basis data.

17. The computer program product of claim 15, wherein the topic data is based on the basis data by performing text analytics on at least a portion of the basis data in order to determine the topic data.

18. The computer program product of claim 15, wherein the topic data is based on the basis data by performing inverse frequency processing on at least a portion of the basis data in order to determine the topic data.

19. The computer program product of claim 15, the program code is further executable by a processor to:

collect additional basis data during a chat session between the first person and the second person; and

update the pairwise relationship data set in real time based at least in part on the additional basis data.

20. The computer program product of claim 15, wherein the basis data is derived from published communications data associated with the first person and the second person.